Spatial distortion results in image deformation that can degrade accurate targeting and dose calculations in MRI-guided adaptive radiotherapy. The authors present a comprehensive assessment of a 0.35 T MRI-guided radiotherapy system’s spatial distortion using two commercially-available phantoms with regularly spaced markers. Images of the spatial integrity phantoms were acquired using five clinical protocols on the MRI-guided radiotherapy machine with the radiotherapy gantry positioned at various angles. Software was developed to identify and localize all phantom markers using a template matching approach. Rotational and translational corrections were implemented to account for imperfect phantom alignment. Measurements were made to assess uncertainties arising from susceptibility artifacts, image noise, and phantom construction accuracy. For a clinical 3D imaging protocol with a 1.5 mm reconstructed slice thickness, 100% of spheres within a 50 mm radius of isocente...
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Cytokine-dependent renewal of stem cells is a fundamental requisite for tissue homeostasis and regeneration. Spermatogonial progenitor cells...
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Abstract Purpose of the review Treat to Target (T2T) strategy has been widely used in the management of chronic medical conditions, such...
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by Hyeon-Su Jin, Seon Yeong Park, Kyungmin Kim, Yong-Jik Lee, Gae-Won Nam, Nam Joo Kang, Dong-Woo Lee Poultry feathers consist mainly of th...
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Nous voudrions effectuer une description ici mais le site que vous consultez ne nous en laisse pas la possibilité. from #AlexandrosSfakian...
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Abstract Purpose of Review Knee and hip osteoarthritis (OA) are major public health problems worldwide causing pain, disability and impa...
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Abstract Functionalised electrospun polyamide-6 (PA-6) nanofibres incorporating gadolinium oxide nanoparticles conjugated to zinc tetracar...
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Radiation Research, Volume 187, Issue 6 , Page 641-646, June 2017. from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader ...
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by Patrick P. Lowe, Benedek Gyongyosi, Abhishek Satishchandran, Arvin Iracheta-Vellve, Aditya Ambade, Yeonhee Cho, Karen Kodys, Donna Catala...
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